Combined assessment using MSUS semiquantitative scores and inflammatory biomarkers may improve diagnostic accuracy and ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...

While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...

Artificial intelligence is rapidly transforming weather prediction, enabling forecasts that once required hours of supercomputing time to run in just minutes. But as AI tools play an expanding role in ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ...

Eligible studies used AI models on histopathological images for molecular classification of adult-type gliomas and reported performance metrics. Study selection, data extraction, and risk of bias ...